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R Programming By Example

You're reading from   R Programming By Example Practical, hands-on projects to help you get started with R

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292542
Length 470 pages
Edition 1st Edition
Languages
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Authors (2):
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Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
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Table of Contents (12) Chapters Close

Preface 1. Introduction to R 2. Understanding Votes with Descriptive Statistics FREE CHAPTER 3. Predicting Votes with Linear Models 4. Simulating Sales Data and Working with Databases 5. Communicating Sales with Visualizations 6. Understanding Reviews with Text Analysis 7. Developing Automatic Presentations 8. Object-Oriented System to Track Cryptocurrencies 9. Implementing an Efficient Simple Moving Average 10. Adding Interactivity with Dashboards 11. Required Packages

Retrieving text data from Twitter

Before we finish this chapter, we will very briefly touch on a completely different, yet very sought-after topic, that is, getting data from Twitter. In case you want to apply predictive models, you will need to link the Twitter data to a variable you want to predict, which normally comes from other data. However, something you can easily do is measure the sentiment around a topic using the techniques we showed in a previous section.

The twitteR package actually makes it very easy for us to retrieve Twitter data. To do so, we will create a Twitter App within Twitter, which will give us access to the data feed. To accomplish this, we need to generate four strings within your Twitter account that will be the keys to using the API. These keys are used to validate your permissions and monitor your usage in general. Specifically, you need four strings...

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